Abstract

In recent years, wind and photovoltaic power (PV) have been the renewable energy sources (RESs) with the greatest growth, and both are commonly recognized as the major driving forces of energy system revolution. However, they are characterized by intermittency, volatility and randomness. Therefore, their stable and efficient implementation is one of the most significant topics in the field of renewable energy research. In order to improve the stability of RESs and reduce the curtailment of wind and solar energy, this paper proposes an innovative planning method for optimal capacity allocation. On one hand, a new power generation system is introduced which combines a pumped storage power station with a wind farm and PV; on the other hand, the sequential Monte Carlo method is utilized to analyze the economy and reliability of the system under different capacity configurations considering investment cost, operating characteristics and influence factors of wind and solar energy. Then, optimal capacity allocation can be achieved. In summary, this proposed scheme provides an effective solution for the planning and construction of a new power generation system with RESs.

Highlights

  • Over the last decades, with the increasingly serious challenges caused by the energy crisis and climate change, more and more countries are choosing renewable energy sources (RESs), such as wind farms and PV, instead of fossil fuels in order to face the worsening problems

  • Carlo method are used to calculate the comprehensive benefits under different enumeration method and sequential Monte Carlo method are used to calculate the comprehensive capacity taking into consideration electricity on-grid profits, peak shavingon-grid ability, benefits configurations under differentbycapacity configurations bythe taking into consideration the electricity investment allocation, fault maintenance and generation unit start–stop

  • The corresponding pow ascurtailment the wind and solar abandonmentbe rate are calculatedwithin by the sequential method, as storage unit is between 4–6 units, the hybrid wind–PV-pumped storage power system’s probability of shown in(LOLP)

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Summary

Introduction

With the increasingly serious challenges caused by the energy crisis and climate change, more and more countries are choosing RESs, such as wind farms and PV, instead of fossil fuels in order to face the worsening problems. All of the above literature has not really resolved the problem of how to realize the optimal capacity configuration of a wind–PV–pumped storage system in the planning stage in a way which guarantees the power supply reliability and improves wind and solar energy efficiency. This paper proposes an innovative planning method, which establishes a comprehensive benefit model considering both the investment of various power resources and the operating efficiency of different RESs. By analyzing and testing individually the impact of the wind farm, PV and pumped storage capacity, a continual stable hybrid system and maximum system benefit could be both achieved

The Topology of Hybrid RESs
Structure
Optimal Capacity
Renewable energy sale revenue
Peak shaving income
Fault maintenance cost
The start–stop cost
Total Investment Cost Constraints
Wind Power and PV Output Constraints
Pumped Storage Unit Output Constraints
Quadratic Constraints
Optimal Configuration Algorithm Flow Diagram
X LLDi
Case Study
MW wind can be
With strategy
When the pumpi
11. According to the requirements of the
Findings
Conclusions

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